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Influence factors of the early postpartum non breastfeeding and the establishment of nomograph predictive model for the verification |
The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450000 |
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Abstract To explore the relevant factors affecting the early postpartum non breastfeeding, and to construct a nomograph predictive model for the verification. Methods: A retrospective analysis was conducted on 541 puerperas who were delivery in hospital from June 2020 to September 2021. These puerperas were divided into group A (169 puerperas with early non breastfeeding) and group B (372 puerperas with early breastfeeding) according to whether early breastfeeding or not. Logistic regression analysis was used to analyze the relevant factors affecting breast-feeding, and the nomogram predictive model was established. In addition, 103 puerperas were selected as the validation group to verify the nomogram predictive model during the same period. Results: There were significant differences in the age, whether the neonates transfered to NICU or not, the immediate mother-infant contact, the number of births (≥2 times), the score <60 points of the spousal breastfeeding Support Scale (PBIS), the score <105 points of the breast-feeding Feeding Self-efficacy Scale (BSES) of the puerperas between group B and group A (P<0.05). Logistic analysis showed that the age ≥30 years old, the immediate maternal contact, the number of delivery (≥2 times), the PBIS score <60 points, the abnormal nipples, and the mastitis of the puerperas were all the factors affecting their early postpartum non breastfeeding. Based on the results of Logistic regression analysis, a nomograph predictive model for the risk of early postpartum non breastfeeding was established, and the area under the curve (AUC) of which was 0.858 (95%CI: 0.729-0.903). The AUC of the model in the validation group was 0.784 (95%CI:0.684-0.841), and the model had good differentiation and calibration in the validation group. Conclusion: The nomogram predictive model of early postpartum non breast feeding based on the age, the mother-infant contact, the number of delivery, the PBIS score, the nipple abnormalities, and the mastitis of the puerperas has good calibration and differentiation, and which has clinical guiding value.
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